1 citations · 1 across the 6 of their papers we have counts for
6 papers
Assessing Privacy Preservation and Utility in Online Vision-Language Models
Karmesh Siddharam Chaudhari, Youxiang Zhu, Amy Feng +2
The increasing use of Online Vision Language Models (OVLMs) for processing images has introduced significant privacy risks, as individuals frequently upload images for various util…
Both Ears Wide Open: Towards Language-Driven Spatial Audio Generation
Peiwen Sun, Sitong Cheng, Xiangtai Li +5
Recently, diffusion models have achieved great success in mono-channel audio generation. However, when it comes to stereo audio generation, the soundscapes often have a complex sce…
Unveiling and Mitigating Bias in Audio Visual Segmentation
Peiwen Sun, Honggang Zhang, Di Hu
Community researchers have developed a range of advanced audio-visual segmentation models aimed at improving the quality of sounding objects' masks. While masks created by these mo…
Ref-AVS: Refer and Segment Objects in Audio-Visual Scenes
Yaoting Wang, Peiwen Sun, Dongzhan Zhou +3
Traditional reference segmentation tasks have predominantly focused on silent visual scenes, neglecting the integral role of multimodal perception and interaction in human experien…
Can Textual Semantics Mitigate Sounding Object Segmentation Preference?
Yaoting Wang, Peiwen Sun, Yuanchao Li +2
The Audio-Visual Segmentation (AVS) task aims to segment sounding objects in the visual space using audio cues. However, in this work, it is recognized that previous AVS methods sh…
More than Vanilla Fusion: a Simple, Decoupling-free, Attention Module for Multimodal Fusion Based on Signal Theory
Peiwen Sun, Yifan Zhang, Zishan Liu +2
The vanilla fusion methods still dominate a large percentage of mainstream audio-visual tasks. However, the effectiveness of vanilla fusion from a theoretical perspective is still…